Case studies

Our approach in practice.

We believe results should be shown, not claimed. This page explains how we work through the situations businesses most often bring to us — and the standard every published case study will meet.

A note on transparency

Why you won't find invented numbers here.

Marketing is full of impressive-sounding percentages with no context, no baseline, and no way to verify them. We don't think that helps anyone make a good decision. We publish a client case study only when the client has approved it and the results can be supported by data, with the time period and measurement method stated.

Until approved case studies are ready to share, the scenarios below describe common patterns we are asked to investigate and how we approach them. They are illustrative composites — not accounts of specific clients — and they contain no performance figures.

01Illustrative scenario

"Our spend keeps rising, but leads haven't moved."

A familiar situation: budgets increase quarter after quarter, platform dashboards look busy, yet the sales team sees no more opportunities than before.

What we examine

Search terms and placements behind the extra spend
Changes to bidding, match types, or automation settings
Whether conversion actions changed definition

Common root causes

Broadening that captured lower-intent traffic
Automated bidding optimizing toward easy, low-value actions
Overlapping campaigns bidding against each other

How we'd approach it

Re-anchor optimization to qualified outcomes
Restructure and add exclusions to cut irrelevant spend
Reallocate budget and measure against a fixed baseline

02Illustrative scenario

"The ad platforms report far more conversions than our CRM."

When every platform's numbers add up to more customers than the business actually won, decisions start resting on fiction.

What we examine

Which actions each platform counts as a conversion
Tag firing, duplication, and attribution windows
How leads are recorded and matched in the CRM

Common root causes

Micro-actions counted alongside real leads
Duplicate tags or double-firing events
Overlapping view-through and click-through credit

How we'd approach it

Agree one definition of a lead and a sale
Clean up tagging with consent-aware implementation
Introduce offline conversion feedback from the CRM

Professionals meeting late in a modern glass-walled office — Every recommendation should be traceable to evidence — and every change measured against an agreed baseline.

03Illustrative scenario

"We get plenty of traffic, but visitors don't enquire."

Paying for clicks that leave without acting is one of the most expensive leaks in any funnel — and one of the most fixable.

What we examine

Message match between ads and landing pages
Mobile speed, layout, and form length
Drop-off points by device and traffic source

Common root causes

Generic pages that don't answer the ad's promise
Slow or cluttered mobile experiences
Forms asking for too much, too soon

How we'd approach it

Prioritize fixes by traffic volume and severity
Design tests with clear hypotheses
Measure conversion quality, not only volume

04Illustrative scenario

"Every channel says it drove the same customer."

Last-click reports reward whichever channel touched the customer last. Budgets follow the credit, and the channels that create demand get cut.

What we examine

Attribution models and lookback windows in use
Overlap between audiences and retargeting pools
Brand search trends alongside upper-funnel activity

Common root causes

Channels judged by one metric regardless of role
Retargeting taking credit for existing intent
No incrementality testing

How we'd approach it

Define each channel's role and success metric
Use holdout or geo tests where budgets allow
Plan budgets on marginal, not average, returns

Our case study standard

How every published case study will be built.

When we share client results, each one will follow the same five-part structure, so you can judge the evidence for yourself.

01Context
The business, market, goals, and constraints at the start.
02Baseline
Performance before changes, with the period and data source.
03Diagnosis
What the audit found and the evidence behind it.
04Action
What changed, when, and what else changed at the same time.
05Verified outcome
Results with measurement method and timeframe — published only with client approval.

Recognize a scenario?

Let's look at your data together.

An audit applies this approach to your own accounts and shows where the biggest opportunities are.

Request a Marketing Audit